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The VORPAL finite-difference time-domain particle-in-cell simulation tool has traditionally been used for accelerator, electromagnetic, and plasma simulations. Approximately two years ago, a generalized PDE (partial differential equation) capability was added to the software, and we are now developing this capability to provide multi-physics simulations capability. Our project focus is on integrated...
Gaussian mixture models with an universal background model (UBM) have been the standard method for speaker recognition. Typically, maximum a posteriori (MAP) or maximum likelihood linear regression (MLLR) is used to adapt the means of the UBM. Together with the SVM modeling technique, these approaches can achieve excellent performance. MLLR is quite efficient when the amount of adaptation data is...
Eigenvoice speaker adaptation has been shown to be effective in recent years. In this paper, we propose to use eigenvoice coefficients as features for speaker recognition. We use a simplified version of probabilistic subspace adaptation (PSA) to estimate eigenvoice coefficients, and the coefficients are concatenated to construct supervectors of support vector machines. This approach significantly...
This paper explores the problem of user experience evaluation, in particular the quantitative evaluation of group user experience, in the ubiquitous computing environments. Firstly, the classification and definition of four different categories of user groups are proposed and the notion of group user experience is introduced. Secondly, we analyze the quantitative evaluation of group user experience...
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